Lithium-sulfur (Li-S) batteries have been considered as one of the most promising candidates to meet the energy storage demand for electric vehicles due to their high theoretical energy density of 2600 Wh kg-1, low cost, natural abundance, environmental friendliness. State-of-the-art Li-S batteries, using liquid electrolytes, still have significant challenges in their safety and lifespan. Accordingly, […]

The main objective of this project is to a) investigate feasibility and suitability of a new proposed DC-DC converter based on a novel “Dual Input Clamp Unidir DC-DC Converter”, and b). validate and quantify its projected benefits including reduced parts count, higher efficiency, lighter weight and more reliable as compared to existing commercial products. Cost-effective, […]

Malting company waste water contains high concentrations of many valuable nutrients such as sugars and proteins. Those compounds have to be removed before discharge the waste water. The removal of those compounds costs a lot of money to the company. But we have bacterial strains which can grow in the waste water and produce hydrogen. […]

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. Learning with deep neural networks has enjoyed huge empirical success in recent years across a wide variety of tasks. Lately many researchers in machine learning society have become interested in the generalization mystery: why do overparameterized DNN […]

As a globally recognized credit service provider, DBRS plans to implement a new project called next generation content development and management. DBRS expects to expand its current online service offering to the users by launching a series of mobile apps with sophisticated analytical tools. The advent of these applications will fundamentally create an interactive environment […]

The purpose of this research is to use an evidence-based approach to further the Toronto Zoo’s social science and education programs, in order to support in situ conservation and biodiversity in relation to Canadian goals and the Aichi Targets. Using a collaborative approach this research will result in the co-production of knowledge, where the researcher […]

The purpose of this research is to use an evidence-based approach to further the Toronto Zoo’s social science and education programs, in order to support in situ conservation and biodiversity in relation to Canadian goals and the Aichi Targets. Using a collaborative approach this research will result in the co-production of knowledge, where the researcher […]

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

Development of a marketing strategy for an online peer-to-peer community platform to connect rehabilitation health professionals, which will help the partner organization assess whether this is an opportunity to focus on.

Across the province, students are channeled into academic and applied programs at the start of high school. Students in applied courses are less likely to enjoy school or pass the provincial standards for achievement in both elementary and secondary school (EQAO, 2012). We know little about “who” takes applied courses in Ontario and what opportunities […]

Protein turnover is an incompletely understood aspect of biology, important for various processes including adaption to environmental stimuli. Over 500 protein complexes (E3 ligases) are involved in marking proteins for degradation, but only a small number of these E3 ligases are well characterised. The current project seeks to develop chemical inhibitors of GID4—a key component […]